Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps

Self organizing maps (SOMs) in a supervised mode were applied for prediction of liquid chromatographic retention behavior of chemical compounds based on their quantum chemical information. The proposed algorithm was simple and required only a small alteration of the standard SOM algorithm. The appli...

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Bibliographic Details
Main Authors: Sila Kittiwachana, Sunanta Wangkarn, Kate Grudpan, Richard G. Brereton
Format: Journal
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84873332435&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/52405
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Institution: Chiang Mai University